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Paper Citation Record · LEDGER

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection

As of 8 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2505.18587.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.18587 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:30.876364Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fca9fe7e-a298-417e-b135-4312ee55e20a · outbound

This paper cites DeepFake Detection Based on the Discrepancy Between the Face and its Context.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection DeepFake Detection Based on the Discrepancy Between the Face and its Context

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:30.251816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:30.251816Z digest=sha256:54715919ce33b2f86c2d8a6173be5e4ab41669dee7b5ed6e6855eeee6a57dadd

Observation cf8c9afb-7801-41a4-8d2d-e0e231379852 · outbound

This paper cites Combining efficientnet and vision transformers for video deepfake detection,.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection Combining efficientnet and vision transformers for video deepfake detection,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:32.107539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:32:30.311070Z digest=sha256:2b5b02dc9db85ed20d62f145e6a57590be6c7ba55ec41eb961f20be0fe377241

Observation dfb57d00-41ee-4a91-81f2-2aa4cd92aa57 · outbound

This paper cites LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:30.399121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:30.399121Z digest=sha256:2599802e1850b6a2b3e63e8c0e11c4eac517568ea4f159945845b1493b4602f1

Observation b0a0a8d0-411a-46c1-8e95-fa29dd98e743 · outbound

This paper cites FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:30.447285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:30.447285Z digest=sha256:a31dca5aa8dae85b1d68dbbddf1b12aa6a0e720df2d631ad1317c37cb0c49596

Observation d437cb67-df59-4d12-b1a9-81805278522c · outbound

This paper cites Blockwise spectral analysis for deepfake detection in high-fidelity videos,.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection Blockwise spectral analysis for deepfake detection in high-fidelity videos,

Reference 5

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:32:31.428625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:32:30.508044Z digest=sha256:21b3a30ecec90ea5f3b49e8a78ab7b69bf3a302ddcd7aee381f120282bed7692

Observation dd4bc9ea-a574-4049-85ec-50db686d205d · outbound

This paper cites A review of deepfake techniques: Architecture, detection, and datasets,.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection A review of deepfake techniques: Architecture, detection, and datasets,

Reference 6

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:32:31.241753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:32:30.544425Z digest=sha256:0c566de03a3638759484da134831451f78f42b777d6697b0c7338954c2418cf2

Observation 925317c7-80ae-4413-a311-745d8db2d4b6 · outbound

This paper cites MST++: Multi-stage spectral-wise transformer for efficient spectral reconstruction,.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection MST++: Multi-stage spectral-wise transformer for efficient spectral reconstruction,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:31.946512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:32:30.687063Z digest=sha256:fd7d1b549a7b7ead681843d8d8806cc9aa4f7486925f1d53a87d4f2cb26e10b2

Observation e3a25a00-bc45-43cc-a44b-f536f5dcc07f · outbound

This paper cites Ntire 2022 spectral recovery challenge and data set,.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection Ntire 2022 spectral recovery challenge and data set,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:31.750707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:32:30.755345Z digest=sha256:03c09f8e50f0be6b4711da5ec3e89d2f5158d737b36182b7ed70f9dcaaa2cb71

Observation 6e7fb93a-e636-424e-8dc7-e3b5c7979d34 · outbound

This paper cites Faceforensics++: Learning to detect manipulated facial images,.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection Faceforensics++: Learning to detect manipulated facial images,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:31.601461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:32:30.794744Z digest=sha256:281e9d40eb6cb98e60d39c5a24f9f23a5d3828fba4bb251c0675e578b928fcd7

Observation 5b8b6185-4826-4c56-8cbe-1aa3062c50db · outbound

This paper cites Deep Residual Learning for Image Recognition.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection Deep Residual Learning for Image Recognition

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:30.837531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:30.837531Z digest=sha256:f47572f461fcebcebc628740a3d49f1212f5c3b18620e2566a94ad549bc4c271

Observation 0157f83d-37b7-4294-8ce8-7bda15406bd7 · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:30.876364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:30.876364Z digest=sha256:e44cb21cd1d719487c7990b2fd109823abff470dc673c3d196e46bee721238bd

Pith citing papers

No inbound Pith citation observations are available.